Machine Learning Security Engineer - Atlanta, GA, United States - The Georgia Tech Research Institute

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    Technology / Internet
    Description

    Overview:

    The Georgia Tech Research Institute (GTRI) is the nonprofit, applied research division of the Georgia Institute of Technology (Georgia Tech).Founded in 1934 as the Engineering Experiment Station, GTRI has grown to more than 2,900 employees, supporting eight laboratories in over 20 locations around the country and performing more than $940 million of problem-solving research annually for government and industry.

    GTRI's renowned researchers combine science, engineering, economics, policy, and technical expertise to solve complex problems for the U.S
    federal government, state, and industry
    Georgia Tech's Mission and Values Georgia Tech's mission is to develop leaders who advance technology and improve the human condition
    The Institute has nine key values that are foundational to everything we do: 1
    Students are our top priority
    2
    We strive for excellence
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    We thrive on diversity
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    We celebrate collaboration
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    We champion innovation
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    We safeguard freedom of inquiry and expression
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    We nurture the wellbeing of our community
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    We act ethically
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    We are responsible stewards
    Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact
    Project/Unit Description The Georgia Tech Research Institute (GTRI) is seeking cyber security & machine learning security engineers to join the Threat Analysis Branch (TAB) of the Cybersecurity, Information Protection, and Hardware Evaluation Research (CIPHER) Lab
    As a Cyber Security / Machine Learning (ML) Engineer, you will conduct research & development of high-quality software systems, machine learning systems, tools, and algorithms to address real-world cyber threat analysis and intelligence problems
    You will help fuse hardened AI/ML solutions and carefully designed software with state-of-the-art cybersecurity and threat intelligence research to provide support to cybersecurity researchers, cyber protection and mission teams, threat intelligence analysts, and cyber network operators
    The capabilities you help build will address challenges faced by key DoD and IC customers, including malware analysis and detection, open-source threat intelligence and attribution, threat modeling, and network analysis
    These capabilities will utilize state-of-the-art machine learning, other artificial intelligence techniques, and data analysis algorithms
    They will require careful User Experience considerations as they present advanced visualizations to a variety of end-users
    As a Cyber Security / ML Engineer in TAB, you will be expected to provide significant technical contributions and input to projects led by other TAB members
    You will be expected to quickly transform high-level research concepts into concrete technical implementations
    Job Purpose Scientist, engineer, or associate who performs security analysis, reverse engineering, vulnerability assessment, and/or exploitation of machine learning systems
    Machine Learning Security Researchers are also expected to develop machine learning applications as needed to address cybersecurity solutions
    They work with a technically savvy team of software experts to perform intelligent software analysis (including vulnerability research), reverse engineering (including malware analysis), and/or research and development on secure cyber systems
    Machine Learning Security Research positions may perform these analyses at both the implementation (source and binary analysis) and behavioral level (system, network, and protocol analysis)
    May also with other units within the Georgia Tech community to perform interdisciplinary research in secure computing
    Over course of career establishes a portfolio of secure computing research and supervises a team of researchers
    Key Responsibilities


    • Perform software development, software reverse engineering, software vulnerability research, and software exploitation
    • Develop and maintain kernel and user-level software and scripts
    • Analyze assembly-level code on multiple platforms -Create and analyze network protocols
    • Contribute to technical reports and presentations Additional Responsibilities You will never be siloed into working on a single project forever - you will be expected to help contribute to a variety of projects, which may range in maturity from small internally funded research ideas to long-running (10+ years) highly mature software projects
    Our projects utilize numerous tech stacks and build tools, and selecting the appropriate tooling for a project will be part of your responsibility
    Accordingly, we won't expect you to have deep familiarity with any particular set of tools at the outset, but you will need to be able to quickly become the one of the team's expert in at least some of the tools you use
    All of our projects leverage Git, many use containers, and some example stacks we have currently include Mongo/Python/Vanilla JavaScript, Neo4J/Java/React, and Rust/Warp/Yew
    All projects leverage some kind of build infrastructure such as Make, Maven, CMake, Nix, etc
    Required Minimum Qualifications


    • Experience with at least two of the following: Java, Python, Rust, C languages,
    • Thorough understanding of software development & design patterns and best practices
    • Familiarity with software development tools and workflows, including source control (e.g., Git),
    • Understanding of cybersecurity issues and/or intelligence analysis
    • Strong analytical and problem-solving skills
    • Experience developing Machine Learning algorithms, tools, and techniques Preferred Qualifications
    • Active TS/SCI Clearance
    • Experience designing non-trivial software tools, systems, and frameworks
    • Experience analyzing large datasets and adapting state-of-the-art algorithms/techniques
    • Experience with network analysis and/or security best practices and the network stack
    • Excellent written and verbal communication skills Misc

    Other Nice-to-Haves:

    • Masters / Doctorate in Computer Science or Security or related fields
    • Experience working with graph databases and graph algorithms
    • Malware analysis
    • Hands-on network administration in an IT-type role
    • Experience with Natural Language Processing (NLP) Travel Requirements Education and Length of Experience This position vacancy is an open-rank announcement

    The final job offer will be dependent on candidate qualifications in alignment with Research Faculty Extension Professional ranks as outlined in section 3.2.

    1 of the Georgia Tech Faculty Handbook


    • 0 years of related experience with a Bachelor's degree in Computer Science and Computer Engineering U.S
    Citizenship Requirements Due to our research contracts with the U.S
    federal government, candidates for this position must be U.S
    Citizens
    Clearance Type Required Candidates must be able to obtain and maintain an active security clearance
    Benefits at GTRI Comprehensive information on currently offered GTRI benefits, including Health & Welfare, Retirement Plans, Tuition Reimbursement, Time Off, and Professional Development, can be found through this link: Equal Employment Opportunity The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer
    The University is committed to maintaining a fair and respectful environment for all
    To that end, and in accordance with federal and state law, Board of Regents policy, and University policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services
    Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities
    Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of race, ethnicity, ancestry, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions
    This prohibition applies to faculty, staff, students, and all other members of the Georgia Tech community, including affiliates, invitees, and guests
    Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract
    All members of the USG community must adhere to the USG Statement of Core Values, which consists of Integrity, Excellence, Accountability, and Respect
    These values shape and fundamentally support our University's work
    Additionally, all faculty, staff, and administrators must also be aware of and comply with the Board of Regents and Georgia Institute of Technology's policies on Freedom of Expression and Academic Freedom
    More information on these policies can be found here: Board of Regents Policy Manual | University System of Georgia )

    Posted: 04/16/2024 Closes: 05/16/2024 Back